My research focuses on how population structure, social behaviour and immunity shape infectious disease transmission, and how knowledge of such processes can improve surveillance and control measures. This work covers established infections like seasonal influenza and dengue fever, as well as more recent outbreaks such as Ebola and Zika.
• First, I'm interested in combining mathematical models with serological data to improve our understanding of multi-strain pathogens like influenza and flaviviruses. What can individuals' immune responses today tell us about antibody dynamics and past infections?
• Second, I'm working on new ways to gather data on social mixing patterns, and incorporate it into analysis of disease transmission. What type of social behaviour drives disease transmission, and how can we measure it?
• Third, I tackle questions relating to disease control, projecting the impact of control measures during outbreaks, and evaluating the effectiveness of interventions afterwards. Which factors influence the transmission and containment of emerging infectious diseases?
If these are the sort of questions you're interested in working on, either as a graduate student or a postdoctoral fellow, please get in touch with a brief outline of your background and experience.